Profiling Report

Dataset statistics

Number of variables	17
Number of observations	10000
Missing cells	2485
Missing cells (%)	1.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	144.0 B

Variable types

Text	8
Numeric	7
Categorical	1
DateTime	1

Alerts

`Id` is highly overall correlated with `VoteCount`	High correlation
`VoteCount` is highly overall correlated with `Id` and 2 other fields	High correlation
`Budget` is highly overall correlated with `VoteCount` and 1 other fields	High correlation
`Revenue` is highly overall correlated with `VoteCount` and 1 other fields	High correlation
`OriginalLanguage` is highly imbalanced (69.2%)	Imbalance
`TagLine` has 2413 (24.1%) missing values	Missing
`Popularity` is highly skewed (γ1 = 20.16937129)	Skewed
`Id` has unique values	Unique
`VoteAverage` has 261 (2.6%) zeros	Zeros
`VoteCount` has 260 (2.6%) zeros	Zeros
`Budget` has 4472 (44.7%) zeros	Zeros
`RunTime` has 137 (1.4%) zeros	Zeros
`Revenue` has 4155 (41.5%) zeros	Zeros

Reproduction

Analysis started	2023-12-10 15:07:27.447617
Analysis finished	2023-12-10 15:07:38.593574
Duration	11.15 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

GenreIds
Text

Distinct	2278
Distinct (%)	22.8%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	43
Median length	36
Mean length	11.8537
Min length	2

Characters and Unicode

Total characters	118537
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1416 ?
Unique (%)	14.2%

Sample

1st row	[28, 12, 53]
2nd row	[28, 53, 80]
3rd row	[16, 28, 14]
4th row	[28, 53]
5th row	[53, 18]

Value	Count	Frequency (%)
18	3785	14.5%
35	3004	11.5%
28	2776	10.6%
53	2659	10.2%
12	1884	7.2%
10749	1576	6.0%
27	1556	5.9%
14	1343	5.1%
10751	1337	5.1%
16	1318	5.0%
Other values (10)	4943	18.9%

Most occurring characters

Value	Count	Frequency (%)
,	16181	13.7%
	16181	13.7%
1	13312	11.2%
8	11217	9.5%
[	10000	8.4%
]	10000	8.4%
5	7303	6.2%
2	6744	5.7%
7	6569	5.5%
3	6233	5.3%
Other values (4)	14797	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	66175	55.8%
Other Punctuation	16181	13.7%
Space Separator	16181	13.7%
Open Punctuation	10000	8.4%
Close Punctuation	10000	8.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13312	20.1%
8	11217	17.0%
5	7303	11.0%
2	6744	10.2%
7	6569	9.9%
3	6233	9.4%
0	5381	8.1%
4	4029	6.1%
9	2771	4.2%
6	2616	4.0%

Other Punctuation

Value	Count	Frequency (%)
,	16181	100.0%

Space Separator

Value	Count	Frequency (%)
	16181	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	10000	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	10000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	118537	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
,	16181	13.7%
	16181	13.7%
1	13312	11.2%
8	11217	9.5%
[	10000	8.4%
]	10000	8.4%
5	7303	6.2%
2	6744	5.7%
7	6569	5.5%
3	6233	5.3%
Other values (4)	14797	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118537	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
,	16181	13.7%
	16181	13.7%
1	13312	11.2%
8	11217	9.5%
[	10000	8.4%
]	10000	8.4%
5	7303	6.2%
2	6744	5.7%
7	6569	5.5%
3	6233	5.3%
Other values (4)	14797	12.5%

Id
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	306598.19

Minimum	5
Maximum	1191902
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	5
5-th percentile	887.95
Q1	11391.25
median	117257
Q3	535427.75
95-th percentile	1020601
Maximum	1191902
Range	1191897
Interquartile range (IQR)	524036.5

Descriptive statistics

Standard deviation	350362.44
Coefficient of variation (CV)	1.1427414
Kurtosis	-0.38422622
Mean	306598.19
Median Absolute Deviation (MAD)	116438.5
Skewness	0.91953223
Sum	3.0659819 × 10⁹
Variance	1.2275384 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
299054	1	< 0.1%
803279	1	< 0.1%
10407	1	< 0.1%
13341	1	< 0.1%
12689	1	< 0.1%
306745	1	< 0.1%
1175873	1	< 0.1%
24248	1	< 0.1%
901	1	< 0.1%
531	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%
19	1	< 0.1%
22	1	< 0.1%

Value	Count	Frequency (%)
1191902	1	< 0.1%
1191885	1	< 0.1%
1191557	1	< 0.1%
1191556	1	< 0.1%
1191268	1	< 0.1%
1191086	1	< 0.1%
1190610	1	< 0.1%
1190581	1	< 0.1%
1190531	1	< 0.1%
1190476	1	< 0.1%

OriginalLanguage
Categorical

IMBALANCE

Distinct	50
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

en	7498
ja	602
ko	319
fr	308
es	296
Other values (45)	977

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	20000
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.1%

Sample

1st row	en
2nd row	en
3rd row	en
4th row	en
5th row	es

Common Values

Value	Count	Frequency (%)
en	7498	75.0%
ja	602	6.0%
ko	319	3.2%
fr	308	3.1%
es	296	3.0%
zh	162	1.6%
it	152	1.5%
cn	135	1.4%
de	78	0.8%
ru	65	0.7%
Other values (40)	385	3.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
en	7498	75.0%
ja	602	6.0%
ko	319	3.2%
fr	308	3.1%
es	296	3.0%
zh	162	1.6%
it	152	1.5%
cn	135	1.4%
de	78	0.8%
ru	65	0.7%
Other values (40)	385	3.9%

Most occurring characters

Value	Count	Frequency (%)
e	7890	39.5%
n	7692	38.5%
a	646	3.2%
j	602	3.0%
r	393	2.0%
o	352	1.8%
s	333	1.7%
k	327	1.6%
f	319	1.6%
t	287	1.4%
Other values (14)	1159	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7890	39.5%
n	7692	38.5%
a	646	3.2%
j	602	3.0%
r	393	2.0%
o	352	1.8%
s	333	1.7%
k	327	1.6%
f	319	1.6%
t	287	1.4%
Other values (14)	1159	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7890	39.5%
n	7692	38.5%
a	646	3.2%
j	602	3.0%
r	393	2.0%
o	352	1.8%
s	333	1.7%
k	327	1.6%
f	319	1.6%
t	287	1.4%
Other values (14)	1159	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7890	39.5%
n	7692	38.5%
a	646	3.2%
j	602	3.0%
r	393	2.0%
o	352	1.8%
s	333	1.7%
k	327	1.6%
f	319	1.6%
t	287	1.4%
Other values (14)	1159	5.8%

OriginalTitle
Text

Distinct	9713
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	104
Median length	61
Mean length	15.6792
Min length	1

Characters and Unicode

Total characters	156792
Distinct characters	2095
Distinct categories	21 ?
Distinct scripts	17 ?
Distinct blocks	24 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9453 ?
Unique (%)	94.5%

Sample

1st row	Expend4bles
2nd row	The Equalizer 3
3rd row	Mortal Kombat Legends: Cage Match
4th row	Mission: Impossible - Dead Reckoning Part One
5th row	Nowhere

Value	Count	Frequency (%)
the	2557	9.2%
of	730	2.6%
a	328	1.2%
2	273	1.0%
and	229	0.8%
in	226	0.8%
	226	0.8%
to	162	0.6%
la	142	0.5%
3	104	0.4%
Other values (9629)	22756	82.1%

Most occurring characters

Value	Count	Frequency (%)
	17714	11.3%
e	14622	9.3%
a	9276	5.9%
o	8352	5.3%
n	7768	5.0%
r	7701	4.9%
i	7462	4.8%
t	6900	4.4%
s	5742	3.7%
l	4893	3.1%
Other values (2085)	66362	42.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101826	64.9%
Uppercase Letter	22487	14.3%
Space Separator	17734	11.3%
Other Letter	9891	6.3%
Other Punctuation	2519	1.6%
Decimal Number	1257	0.8%
Dash Punctuation	310	0.2%
Modifier Letter	290	0.2%
Nonspacing Mark	184	0.1%
Spacing Mark	116	0.1%
Other values (11)	178	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
の	277	2.8%
ン	258	2.6%
ラ	140	1.4%
ス	118	1.2%
ド	114	1.2%
ル	111	1.1%
ト	97	1.0%
場	93	0.9%
劇	93	0.9%
版	92	0.9%
Other values (1738)	8498	85.9%

Lowercase Letter

Value	Count	Frequency (%)
e	14622	14.4%
a	9276	9.1%
o	8352	8.2%
n	7768	7.6%
r	7701	7.6%
i	7462	7.3%
t	6900	6.8%
s	5742	5.6%
l	4893	4.8%
h	4891	4.8%
Other values (113)	24219	23.8%

Uppercase Letter

Value	Count	Frequency (%)
T	2862	12.7%
S	1877	8.3%
M	1454	6.5%
B	1390	6.2%
A	1322	5.9%
D	1260	5.6%
C	1230	5.5%
L	1160	5.2%
P	1054	4.7%
H	993	4.4%
Other values (66)	7885	35.1%

Nonspacing Mark

Value	Count	Frequency (%)
్	15	8.2%
े	15	8.2%
ั	14	7.6%
्	11	6.0%
ి	10	5.4%
ं	10	5.4%
์	10	5.4%
้	9	4.9%
ా	8	4.3%
ิ	7	3.8%
Other values (28)	75	40.8%

Other Punctuation

Value	Count	Frequency (%)
:	1095	43.5%
'	433	17.2%
.	270	10.7%
!	181	7.2%
,	162	6.4%
&	131	5.2%
・	59	2.3%
/	40	1.6%
?	34	1.3%
：	25	1.0%
Other values (18)	89	3.5%

Spacing Mark

Value	Count	Frequency (%)
ा	43	37.1%
ी	15	12.9%
ि	12	10.3%
ు	9	7.8%
ం	7	6.0%
ி	6	5.2%
ি	6	5.2%
ो	5	4.3%
া	3	2.6%
ு	2	1.7%
Other values (7)	8	6.9%

Decimal Number

Value	Count	Frequency (%)
2	401	31.9%
3	210	16.7%
1	171	13.6%
0	149	11.9%
4	86	6.8%
5	57	4.5%
9	53	4.2%
7	44	3.5%
6	41	3.3%
8	37	2.9%
Other values (4)	8	0.6%

Math Symbol

Value	Count	Frequency (%)
～	30	61.2%
×	6	12.2%
+	4	8.2%
~	4	8.2%
\|	3	6.1%
＋	1	2.0%
∞	1	2.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	28.6%
[	10	23.8%
「	8	19.0%
（	7	16.7%
〈	3	7.1%
『	1	2.4%
【	1	2.4%

Close Punctuation

Value	Count	Frequency (%)
)	12	28.6%
]	10	23.8%
」	8	19.0%
）	7	16.7%
〉	3	7.1%
』	1	2.4%
】	1	2.4%

Dash Punctuation

Value	Count	Frequency (%)
-	294	94.8%
〜	10	3.2%
―	2	0.6%
–	2	0.6%
－	2	0.6%

Other Number

Value	Count	Frequency (%)
½	6	54.5%
²	2	18.2%
³	2	18.2%
⅓	1	9.1%

Modifier Letter

Value	Count	Frequency (%)
ー	287	99.0%
々	2	0.7%
ʻ	1	0.3%

Final Punctuation

Value	Count	Frequency (%)
’	8	80.0%
”	1	10.0%
»	1	10.0%

Other Symbol

Value	Count	Frequency (%)
☆	6	75.0%
°	1	12.5%
△	1	12.5%

Letter Number

Value	Count	Frequency (%)
Ⅱ	3	42.9%
Ⅰ	2	28.6%
Ⅲ	2	28.6%

Space Separator

Value	Count	Frequency (%)
	17714	99.9%
	20	0.1%

Format

Value	Count	Frequency (%)
‎	2	66.7%
‌	1	33.3%

Currency Symbol

Value	Count	Frequency (%)
¢	2	66.7%
$	1	33.3%

Initial Punctuation

Value	Count	Frequency (%)
“	1	50.0%
«	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123292	78.6%
Common	22272	14.2%
Han	3728	2.4%
Katakana	2604	1.7%
Hangul	1610	1.0%
Hiragana	1269	0.8%
Cyrillic	989	0.6%
Devanagari	337	0.2%
Thai	323	0.2%
Telugu	138	0.1%
Other values (7)	230	0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
場	93	2.5%
劇	93	2.5%
版	92	2.5%
女	50	1.3%
大	41	1.1%
之	41	1.1%
人	37	1.0%
戦	33	0.9%
神	30	0.8%
王	27	0.7%
Other values (1040)	3191	85.6%

Hangul

Value	Count	Frequency (%)
의	61	3.8%
마	34	2.1%
이	28	1.7%
한	27	1.7%
사	26	1.6%
엄	25	1.6%
스	24	1.5%
아	24	1.5%
친	22	1.4%
여	21	1.3%
Other values (383)	1318	81.9%

Latin

Value	Count	Frequency (%)
e	14622	11.9%
a	9276	7.5%
o	8352	6.8%
n	7768	6.3%
r	7701	6.2%
i	7462	6.1%
t	6900	5.6%
s	5742	4.7%
l	4893	4.0%
h	4891	4.0%
Other values (113)	45685	37.1%

Common

Value	Count	Frequency (%)
	17714	79.5%
:	1095	4.9%
'	433	1.9%
2	401	1.8%
-	294	1.3%
ー	287	1.3%
.	270	1.2%
3	210	0.9%
!	181	0.8%
1	171	0.8%
Other values (75)	1216	5.5%

Katakana

Value	Count	Frequency (%)
ン	258	9.9%
ラ	140	5.4%
ス	118	4.5%
ド	114	4.4%
ル	111	4.3%
ト	97	3.7%
イ	86	3.3%
ア	75	2.9%
ッ	68	2.6%
リ	66	2.5%
Other values (69)	1471	56.5%

Hiragana

Value	Count	Frequency (%)
の	277	21.8%
と	61	4.8%
ん	49	3.9%
た	47	3.7%
い	43	3.4%
る	40	3.2%
か	39	3.1%
を	36	2.8%
し	35	2.8%
ら	34	2.7%
Other values (58)	608	47.9%

Cyrillic

Value	Count	Frequency (%)
а	94	9.5%
о	85	8.6%
е	73	7.4%
и	68	6.9%
р	67	6.8%
н	61	6.2%
т	42	4.2%
к	41	4.1%
л	37	3.7%
с	32	3.2%
Other values (46)	389	39.3%

Devanagari

Value	Count	Frequency (%)
ा	43	12.8%
र	18	5.3%
न	17	5.0%
म	16	4.7%
े	15	4.5%
ी	15	4.5%
ल	14	4.2%
द	13	3.9%
ग	13	3.9%
ि	12	3.6%
Other values (38)	161	47.8%

Thai

Value	Count	Frequency (%)
า	25	7.7%
ก	23	7.1%
ร	21	6.5%
อ	17	5.3%
เ	15	4.6%
ม	14	4.3%
ั	14	4.3%
น	13	4.0%
ต	13	4.0%
ง	11	3.4%
Other values (38)	157	48.6%

Telugu

Value	Count	Frequency (%)
్	15	10.9%
ర	12	8.7%
ి	10	7.2%
ు	9	6.5%
ా	8	5.8%
గ	8	5.8%
ం	7	5.1%
బ	6	4.3%
ల	5	3.6%
న	5	3.6%
Other values (26)	53	38.4%

Arabic

Value	Count	Frequency (%)
ا	12	15.2%
ر	7	8.9%
م	6	7.6%
ل	6	7.6%
س	5	6.3%
ف	4	5.1%
ب	4	5.1%
و	3	3.8%
ن	3	3.8%
ه	3	3.8%
Other values (16)	26	32.9%

Greek

Value	Count	Frequency (%)
α	4	10.3%
ν	3	7.7%
μ	3	7.7%
ο	3	7.7%
ς	3	7.7%
υ	2	5.1%
ρ	2	5.1%
η	2	5.1%
έ	2	5.1%
λ	2	5.1%
Other values (13)	13	33.3%

Bengali

Value	Count	Frequency (%)
ি	6	17.1%
ম	3	8.6%
জ	3	8.6%
া	3	8.6%
র	3	8.6%
ত	2	5.7%
ক	2	5.7%
গ	1	2.9%
ল	1	2.9%
স	1	2.9%
Other values (10)	10	28.6%

Tamil

Value	Count	Frequency (%)
்	6	16.2%
ி	6	16.2%
க	4	10.8%
த	3	8.1%
ர	3	8.1%
ம	2	5.4%
ு	2	5.4%
ந	2	5.4%
ல	1	2.7%
ய	1	2.7%
Other values (7)	7	18.9%

Kannada

Value	Count	Frequency (%)
್	3	14.3%
ಎ	2	9.5%
ಫ	2	9.5%
ಿ	2	9.5%
ಜ	2	9.5%
ೆ	2	9.5%
ಕ	2	9.5%
ಯ	2	9.5%
೧	1	4.8%
ಾ	1	4.8%
Other values (2)	2	9.5%

Malayalam

Value	Count	Frequency (%)
മ	2	18.2%
ി	2	18.2%
ന	2	18.2%
്	1	9.1%
ൽ	1	9.1%
ു	1	9.1%
ര	1	9.1%
ള	1	9.1%

Inherited

Value	Count	Frequency (%)
゙	5	62.5%
̀	2	25.0%
‌	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	144563	92.2%
CJK	3726	2.4%
Katakana	2950	1.9%
Hangul	1610	1.0%
Hiragana	1274	0.8%
Cyrillic	989	0.6%
None	658	0.4%
Devanagari	337	0.2%
Thai	323	0.2%
Telugu	138	0.1%
Other values (14)	224	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	17714	12.3%
e	14622	10.1%
a	9276	6.4%
o	8352	5.8%
n	7768	5.4%
r	7701	5.3%
i	7462	5.2%
t	6900	4.8%
s	5742	4.0%
l	4893	3.4%
Other values (77)	54133	37.4%

Katakana

Value	Count	Frequency (%)
ー	287	9.7%
ン	258	8.7%
ラ	140	4.7%
ス	118	4.0%
ド	114	3.9%
ル	111	3.8%
ト	97	3.3%
イ	86	2.9%
ア	75	2.5%
ッ	68	2.3%
Other values (71)	1596	54.1%

Hiragana

Value	Count	Frequency (%)
の	277	21.7%
と	61	4.8%
ん	49	3.8%
た	47	3.7%
い	43	3.4%
る	40	3.1%
か	39	3.1%
を	36	2.8%
し	35	2.7%
ら	34	2.7%
Other values (59)	613	48.1%

None

Value	Count	Frequency (%)
é	103	15.7%
ó	36	5.5%
è	35	5.3%
～	30	4.6%
í	25	3.8%
：	25	3.8%
	20	3.0%
á	20	3.0%
！	20	3.0%
à	19	2.9%
Other values (115)	325	49.4%

Cyrillic

Value	Count	Frequency (%)
а	94	9.5%
о	85	8.6%
е	73	7.4%
и	68	6.9%
р	67	6.8%
н	61	6.2%
т	42	4.2%
к	41	4.1%
л	37	3.7%
с	32	3.2%
Other values (46)	389	39.3%

CJK

Value	Count	Frequency (%)
場	93	2.5%
劇	93	2.5%
版	92	2.5%
女	50	1.3%
大	41	1.1%
之	41	1.1%
人	37	1.0%
戦	33	0.9%
神	30	0.8%
王	27	0.7%
Other values (1039)	3189	85.6%

Hangul

Value	Count	Frequency (%)
의	61	3.8%
마	34	2.1%
이	28	1.7%
한	27	1.7%
사	26	1.6%
엄	25	1.6%
스	24	1.5%
아	24	1.5%
친	22	1.4%
여	21	1.3%
Other values (383)	1318	81.9%

Devanagari

Value	Count	Frequency (%)
ा	43	12.8%
र	18	5.3%
न	17	5.0%
म	16	4.7%
े	15	4.5%
ी	15	4.5%
ल	14	4.2%
द	13	3.9%
ग	13	3.9%
ि	12	3.6%
Other values (38)	161	47.8%

Thai

Value	Count	Frequency (%)
า	25	7.7%
ก	23	7.1%
ร	21	6.5%
อ	17	5.3%
เ	15	4.6%
ม	14	4.3%
ั	14	4.3%
น	13	4.0%
ต	13	4.0%
ง	11	3.4%
Other values (38)	157	48.6%

Telugu

Value	Count	Frequency (%)
్	15	10.9%
ర	12	8.7%
ి	10	7.2%
ు	9	6.5%
ా	8	5.8%
గ	8	5.8%
ం	7	5.1%
బ	6	4.3%
ల	5	3.6%
న	5	3.6%
Other values (26)	53	38.4%

Arabic

Value	Count	Frequency (%)
ا	12	15.2%
ر	7	8.9%
م	6	7.6%
ل	6	7.6%
س	5	6.3%
ف	4	5.1%
ب	4	5.1%
و	3	3.8%
ن	3	3.8%
ه	3	3.8%
Other values (16)	26	32.9%

Punctuation

Value	Count	Frequency (%)
’	8	42.1%
―	2	10.5%
–	2	10.5%
‎	2	10.5%
…	1	5.3%
‧	1	5.3%
“	1	5.3%
”	1	5.3%
‌	1	5.3%

Tamil

Value	Count	Frequency (%)
்	6	16.2%
ி	6	16.2%
க	4	10.8%
த	3	8.1%
ர	3	8.1%
ம	2	5.4%
ு	2	5.4%
ந	2	5.4%
ல	1	2.7%
ய	1	2.7%
Other values (7)	7	18.9%

Misc Symbols

Value	Count	Frequency (%)
☆	6	100.0%

Bengali

Value	Count	Frequency (%)
ি	6	17.1%
ম	3	8.6%
জ	3	8.6%
া	3	8.6%
র	3	8.6%
ত	2	5.7%
ক	2	5.7%
গ	1	2.9%
ল	1	2.9%
স	1	2.9%
Other values (10)	10	28.6%

Kannada

Value	Count	Frequency (%)
್	3	14.3%
ಎ	2	9.5%
ಫ	2	9.5%
ಿ	2	9.5%
ಜ	2	9.5%
ೆ	2	9.5%
ಕ	2	9.5%
ಯ	2	9.5%
೧	1	4.8%
ಾ	1	4.8%
Other values (2)	2	9.5%

Number Forms

Value	Count	Frequency (%)
Ⅱ	3	37.5%
Ⅰ	2	25.0%
Ⅲ	2	25.0%
⅓	1	12.5%

Malayalam

Value	Count	Frequency (%)
മ	2	18.2%
ി	2	18.2%
ന	2	18.2%
്	1	9.1%
ൽ	1	9.1%
ു	1	9.1%
ര	1	9.1%
ള	1	9.1%

Diacriticals

Value	Count	Frequency (%)
̀	2	100.0%

Latin Ext Additional

Value	Count	Frequency (%)
ọ	2	100.0%

CJK Compat Forms

Value	Count	Frequency (%)
︰	1	100.0%

Modifier Letters

Value	Count	Frequency (%)
ʻ	1	100.0%

Math Operators

Value	Count	Frequency (%)
∞	1	100.0%

Geometric Shapes

Value	Count	Frequency (%)
△	1	100.0%

Overview
Text

Distinct	9946
Distinct (%)	> 99.9%
Missing	51
Missing (%)	0.5%
Memory size	156.2 KiB

Length

Max length	1000
Median length	648
Mean length	276.2556
Min length	11

Characters and Unicode

Total characters	2748467
Distinct characters	144
Distinct categories	19 ?
Distinct scripts	3 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9943 ?
Unique (%)	99.9%

Sample

1st row	Armed with every weapon they can get their hands on and the skills to use them, The Expendables are the world’s last line of defense and the team that gets called when all other options are off the table. But new team members with new styles and tactics are going to give “new blood” a whole new meaning.
2nd row	Robert McCall finds himself at home in Southern Italy but he discovers his friends are under the control of local crime bosses. As events turn deadly, McCall knows what he has to do: become his friends' protector by taking on the mafia.
3rd row	In 1980s Hollywood, action star Johnny Cage is looking to become an A-list actor. But when his costar, Jennifer, goes missing from set, Johnny finds himself thrust into a world filled with shadows, danger, and deceit. As he embarks on a bloody journey, Johnny quickly discovers the City of Angels has more than a few devils in its midst.
4th row	Ethan Hunt and his IMF team embark on their most dangerous mission yet: To track down a terrifying new weapon that threatens all of humanity before it falls into the wrong hands. With control of the future and the world's fate at stake and dark forces from Ethan's past closing in, a deadly race around the globe begins. Confronted by a mysterious, all-powerful enemy, Ethan must consider that nothing can matter more than his mission—not even the lives of those he cares about most.
5th row	A young pregnant woman named Mia escapes from a country at war by hiding in a maritime container aboard a cargo ship. After a violent storm, Mia gives birth to the child while lost at sea, where she must fight to survive.

Value	Count	Frequency (%)
the	25823	5.5%
a	20517	4.4%
to	15672	3.3%
and	13764	2.9%
of	12638	2.7%
in	8235	1.8%
his	7119	1.5%
is	6148	1.3%
her	4789	1.0%
with	4711	1.0%
Other values (33420)	349955	74.6%

Most occurring characters

Value	Count	Frequency (%)
	459804	16.7%
e	268366	9.8%
t	182946	6.7%
a	179364	6.5%
i	159531	5.8%
n	159509	5.8%
o	157954	5.7%
s	147563	5.4%
r	145146	5.3%
h	116848	4.3%
Other values (134)	771436	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2147996	78.2%
Space Separator	459827	16.7%
Uppercase Letter	67665	2.5%
Other Punctuation	56668	2.1%
Dash Punctuation	8359	0.3%
Decimal Number	5892	0.2%
Final Punctuation	1175	< 0.1%
Open Punctuation	312	< 0.1%
Close Punctuation	312	< 0.1%
Initial Punctuation	158	< 0.1%
Other values (9)	103	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	268366	12.5%
t	182946	8.5%
a	179364	8.4%
i	159531	7.4%
n	159509	7.4%
o	157954	7.4%
s	147563	6.9%
r	145146	6.8%
h	116848	5.4%
l	90119	4.2%
Other values (47)	540650	25.2%

Uppercase Letter

Value	Count	Frequency (%)
A	8120	12.0%
T	5570	8.2%
S	5511	8.1%
B	4252	6.3%
C	3995	5.9%
M	3993	5.9%
W	3803	5.6%
H	3300	4.9%
D	2843	4.2%
I	2735	4.0%
Other values (21)	23543	34.8%

Other Punctuation

Value	Count	Frequency (%)
,	25528	45.0%
.	22381	39.5%
'	5636	9.9%
"	1356	2.4%
:	582	1.0%
?	407	0.7%
!	350	0.6%
;	176	0.3%
…	112	0.2%
/	66	0.1%
Other values (5)	74	0.1%

Decimal Number

Value	Count	Frequency (%)
1	1394	23.7%
0	1194	20.3%
9	796	13.5%
2	623	10.6%
5	347	5.9%
3	332	5.6%
8	331	5.6%
7	310	5.3%
6	293	5.0%
4	272	4.6%

Dash Punctuation

Value	Count	Frequency (%)
-	7471	89.4%
—	594	7.1%
–	294	3.5%

Final Punctuation

Value	Count	Frequency (%)
’	1052	89.5%
”	121	10.3%
»	2	0.2%

Initial Punctuation

Value	Count	Frequency (%)
“	120	75.9%
‘	36	22.8%
«	2	1.3%

Format

Value	Count	Frequency (%)
	2	50.0%
⁠	1	25.0%
‎	1	25.0%

Space Separator

Value	Count	Frequency (%)
	459804	> 99.9%
	23	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	308	98.7%
[	4	1.3%

Close Punctuation

Value	Count	Frequency (%)
)	308	98.7%
]	4	1.3%

Currency Symbol

Value	Count	Frequency (%)
$	57	98.3%
£	1	1.7%

Control

Value	Count	Frequency (%)
	14	93.3%
	1	6.7%

Other Symbol

Value	Count	Frequency (%)
™	10	83.3%
®	2	16.7%

Nonspacing Mark

Value	Count	Frequency (%)
́	2	66.7%
̈	1	33.3%

Other Number

Value	Count	Frequency (%)
¹	1	50.0%
²	1	50.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Modifier Letter

Value	Count	Frequency (%)
ʻ	3	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2215661	80.6%
Common	532803	19.4%
Inherited	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	268366	12.1%
t	182946	8.3%
a	179364	8.1%
i	159531	7.2%
n	159509	7.2%
o	157954	7.1%
s	147563	6.7%
r	145146	6.6%
h	116848	5.3%
l	90119	4.1%
Other values (78)	608315	27.5%

Common

Value	Count	Frequency (%)
	459804	86.3%
,	25528	4.8%
.	22381	4.2%
-	7471	1.4%
'	5636	1.1%
1	1394	0.3%
"	1356	0.3%
0	1194	0.2%
’	1052	0.2%
9	796	0.1%
Other values (44)	6191	1.2%

Inherited

Value	Count	Frequency (%)
́	2	66.7%
̈	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2745676	99.9%
Punctuation	2336	0.1%
None	438	< 0.1%
Letterlike Symbols	10	< 0.1%
Modifier Letters	3	< 0.1%
Diacriticals	3	< 0.1%
Alphabetic PF	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	459804	16.7%
e	268366	9.8%
t	182946	6.7%
a	179364	6.5%
i	159531	5.8%
n	159509	5.8%
o	157954	5.8%
s	147563	5.4%
r	145146	5.3%
h	116848	4.3%
Other values (75)	768645	28.0%

Punctuation

Value	Count	Frequency (%)
’	1052	45.0%
—	594	25.4%
–	294	12.6%
”	121	5.2%
“	120	5.1%
…	112	4.8%
‘	36	1.5%
•	3	0.1%
	2	0.1%
⁠	1	< 0.1%

None

Value	Count	Frequency (%)
é	204	46.6%
ō	25	5.7%
í	25	5.7%
	23	5.3%
á	22	5.0%
è	16	3.7%
ū	11	2.5%
ï	11	2.5%
ä	9	2.1%
ç	9	2.1%
Other values (33)	83	18.9%

Letterlike Symbols

Value	Count	Frequency (%)
™	10	100.0%

Modifier Letters

Value	Count	Frequency (%)
ʻ	3	100.0%

Diacriticals

Value	Count	Frequency (%)
́	2	66.7%
̈	1	33.3%

Alphabetic PF

Value	Count	Frequency (%)
ﬁ	1	100.0%

Popularity
Real number (ℝ)

SKEWED

Distinct	8069
Distinct (%)	80.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.248141

Minimum	13.049
Maximum	3741.062
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	13.049
5-th percentile	13.47095
Q1	15.59075
median	20.096
Q3	30.3105
95-th percentile	79.9818
Maximum	3741.062
Range	3728.013
Interquartile range (IQR)	14.71975

Descriptive statistics

Standard deviation	84.332838
Coefficient of variation (CV)	2.4624063
Kurtosis	603.66538
Mean	34.248141
Median Absolute Deviation (MAD)	5.4355
Skewness	20.169371
Sum	342481.41
Variance	7112.0276
Monotonicity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.297	6	0.1%
15.499	6	0.1%
16.146	6	0.1%
13.112	5	0.1%
13.572	5	0.1%
13.84	5	0.1%
14.739	5	0.1%
13.67	5	0.1%
14.76	5	0.1%
13.287	5	0.1%
Other values (8059)	9947	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13.049	3	< 0.1%
13.05	1	< 0.1%
13.051	3	< 0.1%
13.052	2	< 0.1%
13.054	3	< 0.1%
13.055	2	< 0.1%
13.056	1	< 0.1%
13.057	2	< 0.1%
13.059	1	< 0.1%
13.063	2	< 0.1%

Value	Count	Frequency (%)
3741.062	1	< 0.1%
2471.515	1	< 0.1%
2223.43	1	< 0.1%
2032.927	1	< 0.1%
1627.678	1	< 0.1%
1594.559	1	< 0.1%
1521.075	1	< 0.1%
1469.177	1	< 0.1%
1315.518	1	< 0.1%
1304.978	1	< 0.1%

ReleaseDate
Date

Distinct	5947
Distinct (%)	59.6%
Missing	21
Missing (%)	0.2%
Memory size	156.2 KiB

Minimum	1902-04-17 00:00:00
Maximum	2027-05-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Title
Text

Distinct	9637
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	104
Median length	72
Mean length	17.0992
Min length	1

Characters and Unicode

Total characters	170992
Distinct characters	155
Distinct categories	18 ?
Distinct scripts	5 ?
Distinct blocks	9 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9312 ?
Unique (%)	93.1%

Sample

1st row	Expend4bles
2nd row	The Equalizer 3
3rd row	Mortal Kombat Legends: Cage Match
4th row	Mission: Impossible - Dead Reckoning Part One
5th row	Nowhere

Value	Count	Frequency (%)
the	3405	11.2%
of	1037	3.4%
a	413	1.4%
and	338	1.1%
2	300	1.0%
in	299	1.0%
	212	0.7%
to	210	0.7%
movie	167	0.5%
3	122	0.4%
Other values (7795)	23908	78.6%

Most occurring characters

Value	Count	Frequency (%)
	20411	11.9%
e	17408	10.2%
a	10643	6.2%
o	10266	6.0%
n	9243	5.4%
r	9058	5.3%
i	8877	5.2%
t	8378	4.9%
s	6611	3.9%
h	6310	3.7%
Other values (145)	63787	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119406	69.8%
Uppercase Letter	26585	15.5%
Space Separator	20413	11.9%
Other Punctuation	2857	1.7%
Decimal Number	1286	0.8%
Dash Punctuation	341	0.2%
Other Letter	32	< 0.1%
Open Punctuation	21	< 0.1%
Close Punctuation	21	< 0.1%
Other Number	11	< 0.1%
Other values (8)	19	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17408	14.6%
a	10643	8.9%
o	10266	8.6%
n	9243	7.7%
r	9058	7.6%
i	8877	7.4%
t	8378	7.0%
s	6611	5.5%
h	6310	5.3%
l	5621	4.7%
Other values (31)	26991	22.6%

Other Letter

Value	Count	Frequency (%)
の	2	6.2%
後	1	3.1%
午	1	3.1%
田	1	3.1%
中	1	3.1%
瞳	1	3.1%
爆	1	3.1%
乳	1	3.1%
衝	1	3.1%
王	1	3.1%
Other values (21)	21	65.6%

Uppercase Letter

Value	Count	Frequency (%)
T	3506	13.2%
S	2362	8.9%
M	1816	6.8%
B	1705	6.4%
D	1521	5.7%
A	1503	5.7%
C	1489	5.6%
P	1252	4.7%
L	1219	4.6%
H	1125	4.2%
Other values (20)	9087	34.2%

Other Punctuation

Value	Count	Frequency (%)
:	1476	51.7%
'	492	17.2%
.	282	9.9%
,	192	6.7%
!	169	5.9%
&	141	4.9%
/	39	1.4%
?	36	1.3%
*	8	0.3%
"	6	0.2%
Other values (9)	16	0.6%

Decimal Number

Value	Count	Frequency (%)
2	408	31.7%
3	217	16.9%
1	178	13.8%
0	162	12.6%
4	90	7.0%
5	56	4.4%
9	56	4.4%
7	44	3.4%
6	39	3.0%
8	36	2.8%

Other Number

Value	Count	Frequency (%)
½	6	54.5%
³	2	18.2%
⁴	1	9.1%
²	1	9.1%
⅓	1	9.1%

Dash Punctuation

Value	Count	Frequency (%)
-	326	95.6%
–	11	3.2%
—	4	1.2%

Space Separator

Value	Count	Frequency (%)
	20411	> 99.9%
	2	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	16	76.2%
[	5	23.8%

Close Punctuation

Value	Count	Frequency (%)
)	16	76.2%
]	5	23.8%

Math Symbol

Value	Count	Frequency (%)
+	4	80.0%
\|	1	20.0%

Currency Symbol

Value	Count	Frequency (%)
¢	2	66.7%
$	1	33.3%

Final Punctuation

Value	Count	Frequency (%)
’	4	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
̀	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ʻ	1	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	145991	85.4%
Common	24967	14.6%
Han	26	< 0.1%
Hiragana	6	< 0.1%
Inherited	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17408	11.9%
a	10643	7.3%
o	10266	7.0%
n	9243	6.3%
r	9058	6.2%
i	8877	6.1%
t	8378	5.7%
s	6611	4.5%
h	6310	4.3%
l	5621	3.9%
Other values (61)	53576	36.7%

Common

Value	Count	Frequency (%)
	20411	81.8%
:	1476	5.9%
'	492	2.0%
2	408	1.6%
-	326	1.3%
.	282	1.1%
3	217	0.9%
,	192	0.8%
1	178	0.7%
!	169	0.7%
Other values (42)	816	3.3%

Han

Value	Count	Frequency (%)
後	1	3.8%
午	1	3.8%
田	1	3.8%
中	1	3.8%
瞳	1	3.8%
爆	1	3.8%
乳	1	3.8%
衝	1	3.8%
王	1	3.8%
力	1	3.8%
Other values (16)	16	61.5%

Hiragana

Value	Count	Frequency (%)
の	2	33.3%
え	1	16.7%
な	1	16.7%
い	1	16.7%
り	1	16.7%

Inherited

Value	Count	Frequency (%)
̀	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170815	99.9%
None	117	0.1%
CJK	26	< 0.1%
Punctuation	22	< 0.1%
Hiragana	6	< 0.1%
Diacriticals	2	< 0.1%
Latin Ext Additional	2	< 0.1%
Modifier Letters	1	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	20411	11.9%
e	17408	10.2%
a	10643	6.2%
o	10266	6.0%
n	9243	5.4%
r	9058	5.3%
i	8877	5.2%
t	8378	4.9%
s	6611	3.9%
h	6310	3.7%
Other values (76)	63610	37.2%

None

Value	Count	Frequency (%)
é	49	41.9%
ó	8	6.8%
í	6	5.1%
½	6	5.1%
á	5	4.3%
à	4	3.4%
¡	4	3.4%
ā	3	2.6%
ñ	3	2.6%
¿	3	2.6%
Other values (19)	26	22.2%

Punctuation

Value	Count	Frequency (%)
–	11	50.0%
—	4	18.2%
’	4	18.2%
	2	9.1%
…	1	4.5%

Diacriticals

Value	Count	Frequency (%)
̀	2	100.0%

Hiragana

Value	Count	Frequency (%)
の	2	33.3%
え	1	16.7%
な	1	16.7%
い	1	16.7%
り	1	16.7%

Latin Ext Additional

Value	Count	Frequency (%)
ọ	2	100.0%

CJK

Value	Count	Frequency (%)
後	1	3.8%
午	1	3.8%
田	1	3.8%
中	1	3.8%
瞳	1	3.8%
爆	1	3.8%
乳	1	3.8%
衝	1	3.8%
王	1	3.8%
力	1	3.8%
Other values (16)	16	61.5%

Modifier Letters

Value	Count	Frequency (%)
ʻ	1	100.0%

Number Forms

Value	Count	Frequency (%)
⅓	1	100.0%

VoteAverage
Real number (ℝ)

ZEROS

Distinct	73
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.36797

Minimum	0
Maximum	10
Zeros	261
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	4.5
Q1	6
median	6.6
Q3	7.1
95-th percentile	7.9
Maximum	10
Range	10
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	1.3807251
Coefficient of variation (CV)	0.21682343
Kurtosis	9.7538572
Mean	6.36797
Median Absolute Deviation (MAD)	0.6
Skewness	-2.5954374
Sum	63679.7
Variance	1.9064017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.5	466	4.7%
6.8	448	4.5%
7	447	4.5%
6.3	438	4.4%
6.6	437	4.4%
6.7	430	4.3%
6.9	423	4.2%
6.4	415	4.2%
6.2	410	4.1%
6.1	389	3.9%
Other values (63)	5697	57.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	261	2.6%
1	10	0.1%
1.5	1	< 0.1%
2	7	0.1%
2.3	1	< 0.1%
2.5	1	< 0.1%
2.7	2	< 0.1%
2.8	1	< 0.1%
2.9	3	< 0.1%
3	10	0.1%

Value	Count	Frequency (%)
10	10	0.1%
9.8	1	< 0.1%
9.5	2	< 0.1%
9.3	1	< 0.1%
9	8	0.1%
8.9	1	< 0.1%
8.8	5	0.1%
8.7	2	< 0.1%
8.6	6	0.1%
8.5	21	0.2%

VoteCount
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	3543
Distinct (%)	35.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1620.1538

Minimum	0
Maximum	34628
Zeros	260
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	168
median	563
Q3	1665
95-th percentile	6937.25
Maximum	34628
Range	34628
Interquartile range (IQR)	1497

Descriptive statistics

Standard deviation	2960.6426
Coefficient of variation (CV)	1.8273837
Kurtosis	21.895306
Mean	1620.1538
Median Absolute Deviation (MAD)	488
Skewness	4.0440426
Sum	16201538
Variance	8765404.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	260	2.6%
1	72	0.7%
2	60	0.6%
3	49	0.5%
5	46	0.5%
4	45	0.4%
8	39	0.4%
7	36	0.4%
6	33	0.3%
10	30	0.3%
Other values (3533)	9330	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	260	2.6%
1	72	0.7%
2	60	0.6%
3	49	0.5%
4	45	0.4%
5	46	0.5%
6	33	0.3%
7	36	0.4%
8	39	0.4%
9	27	0.3%

Value	Count	Frequency (%)
34628	1	< 0.1%
32726	1	< 0.1%
30768	1	< 0.1%
29904	1	< 0.1%
29241	1	< 0.1%
28971	1	< 0.1%
27827	1	< 0.1%
27366	1	< 0.1%
26721	1	< 0.1%
26016	1	< 0.1%

Budget
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	710
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20439089

Minimum	0
Maximum	4.6 × 10⁸
Zeros	4472
Zeros (%)	44.7%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2130000
Q3	25000000
95-th percentile	1 × 10⁸
Maximum	4.6 × 10⁸
Range	4.6 × 10⁸
Interquartile range (IQR)	25000000

Descriptive statistics

Standard deviation	38786607
Coefficient of variation (CV)	1.8976681
Kurtosis	13.84859
Mean	20439089
Median Absolute Deviation (MAD)	2130000
Skewness	3.2401366
Sum	2.0439089 × 10¹¹
Variance	1.5044009 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4472	44.7%
20000000	210	2.1%
30000000	184	1.8%
25000000	173	1.7%
10000000	169	1.7%
15000000	165	1.7%
40000000	157	1.6%
5000000	145	1.5%
50000000	133	1.3%
35000000	132	1.3%
Other values (700)	4060	40.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4472	44.7%
1	3	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
10	1	< 0.1%
15	1	< 0.1%
20	1	< 0.1%
26	1	< 0.1%

Value	Count	Frequency (%)
460000000	1	< 0.1%
379000000	1	< 0.1%
365000000	1	< 0.1%
356000000	1	< 0.1%
340000000	1	< 0.1%
300000000	4	< 0.1%
297000000	1	< 0.1%
294700000	1	< 0.1%
291000000	1	< 0.1%
274800000	1	< 0.1%

ProductionCompanies
Text

Distinct	8180
Distinct (%)	81.8%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	2591
Median length	1060
Mean length	324.7863
Min length	2

Characters and Unicode

Total characters	3247863
Distinct characters	205
Distinct categories	16 ?
Distinct scripts	6 ?
Distinct blocks	8 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7740 ?
Unique (%)	77.4%

Sample

1st row	[{'id': 1020, 'logo_path': '/kuUIHNwMec4dwOLghDhhZJzHZTd.png', 'name': 'Millennium Media', 'origin_country': 'US'}, {'id': 48738, 'logo_path': None, 'name': 'Campbell Grobman Films', 'origin_country': 'US'}, {'id': 1632, 'logo_path': '/cisLn1YAUuptXVBa0xjq7ST9cH0.png', 'name': 'Lionsgate', 'origin_country': 'US'}]
2nd row	[{'id': 1423, 'logo_path': '/1rbAwGQzrNvXDICD6HWEn1YqfAV.png', 'name': 'Escape Artists', 'origin_country': 'US'}, {'id': 5, 'logo_path': '/wrweLpBqRYcAM7kCSaHDJRxKGOP.png', 'name': 'Columbia Pictures', 'origin_country': 'US'}, {'id': 10400, 'logo_path': '/9LlB2YAwXTkUAhx0pItSo6pDlkB.png', 'name': 'Eagle Pictures', 'origin_country': 'IT'}, {'id': 44967, 'logo_path': None, 'name': 'ZHIV Productions', 'origin_country': ''}]
3rd row	[{'id': 2785, 'logo_path': '/l5zW8jjmQOCx2dFmvnmbYmqoBmL.png', 'name': 'Warner Bros. Animation', 'origin_country': 'US'}]
4th row	[{'id': 4, 'logo_path': '/gz66EfNoYPqHTYI4q9UEN4CbHRc.png', 'name': 'Paramount', 'origin_country': 'US'}, {'id': 82819, 'logo_path': '/gXfFl9pRPaoaq14jybEn1pHeldr.png', 'name': 'Skydance', 'origin_country': 'US'}, {'id': 21777, 'logo_path': None, 'name': 'TC Productions', 'origin_country': 'US'}]
5th row	[{'id': 204005, 'logo_path': None, 'name': 'Rock & Ruz', 'origin_country': 'ES'}]

Value	Count	Frequency (%)
id	31298	10.7%
logo_path	31288	10.7%
name	31288	10.7%
origin_country	31288	10.7%
us	14093	4.8%
none	12436	4.3%
	6894	2.4%
pictures	4744	1.6%
films	3648	1.3%
productions	3537	1.2%
Other values (21950)	120954	41.5%

Most occurring characters

Value	Count	Frequency (%)
'	413056	12.7%
	281472	8.7%
o	178504	5.5%
n	171817	5.3%
i	143373	4.4%
:	125161	3.9%
,	115615	3.6%
t	107883	3.3%
r	105135	3.2%
a	102782	3.2%
Other values (195)	1503065	46.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1553183	47.8%
Other Punctuation	694096	21.4%
Uppercase Letter	355938	11.0%
Space Separator	281472	8.7%
Decimal Number	216171	6.7%
Connector Punctuation	62579	1.9%
Close Punctuation	41476	1.3%
Open Punctuation	41476	1.3%
Dash Punctuation	1007	< 0.1%
Math Symbol	297	< 0.1%
Other values (6)	168	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
有	8	5.6%
公	8	5.6%
司	8	5.6%
限	8	5.6%
文	5	3.5%
化	5	3.5%
影	5	3.5%
上	4	2.8%
海	3	2.1%
주	3	2.1%
Other values (71)	86	60.1%

Lowercase Letter

Value	Count	Frequency (%)
o	178504	11.5%
n	171817	11.1%
i	143373	9.2%
t	107883	6.9%
r	105135	6.8%
a	102782	6.6%
g	93497	6.0%
e	93045	6.0%
p	63197	4.1%
u	58286	3.8%
Other values (41)	435664	28.0%

Uppercase Letter

Value	Count	Frequency (%)
S	28655	8.1%
U	23570	6.6%
N	22843	6.4%
P	22036	6.2%
F	17544	4.9%
E	16361	4.6%
C	16186	4.5%
A	14254	4.0%
R	14248	4.0%
B	12993	3.7%
Other values (23)	167248	47.0%

Other Punctuation

Value	Count	Frequency (%)
'	413056	59.5%
:	125161	18.0%
,	115615	16.7%
.	20518	3.0%
/	19164	2.8%
&	333	< 0.1%
"	226	< 0.1%
!	16	< 0.1%
@	4	< 0.1%
、	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	30685	14.2%
2	23949	11.1%
4	21343	9.9%
3	21150	9.8%
5	20894	9.7%
9	20498	9.5%
8	20052	9.3%
0	19663	9.1%
6	19096	8.8%
7	18841	8.7%

Close Punctuation

Value	Count	Frequency (%)
}	31288	75.4%
]	10000	24.1%
)	185	0.4%
）	3	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
{	31288	75.4%
[	10000	24.1%
(	185	0.4%
（	3	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1006	99.9%
–	1	0.1%

Other Symbol

Value	Count	Frequency (%)
℃	13	92.9%
㈜	1	7.1%

Space Separator

Value	Count	Frequency (%)
	281472	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	62579	100.0%

Math Symbol

Value	Count	Frequency (%)
+	297	100.0%

Other Number

Value	Count	Frequency (%)
²	5	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	3	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	2	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
́	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1909121	58.8%
Common	1338597	41.2%
Han	105	< 0.1%
Hangul	31	< 0.1%
Katakana	8	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	178504	9.4%
n	171817	9.0%
i	143373	7.5%
t	107883	5.7%
r	105135	5.5%
a	102782	5.4%
g	93497	4.9%
e	93045	4.9%
p	63197	3.3%
u	58286	3.1%
Other values (74)	791602	41.5%

Han

Value	Count	Frequency (%)
有	8	7.6%
公	8	7.6%
司	8	7.6%
限	8	7.6%
文	5	4.8%
化	5	4.8%
影	5	4.8%
上	4	3.8%
海	3	2.9%
业	3	2.9%
Other values (40)	48	45.7%

Common

Value	Count	Frequency (%)
'	413056	30.9%
	281472	21.0%
:	125161	9.4%
,	115615	8.6%
_	62579	4.7%
}	31288	2.3%
{	31288	2.3%
1	30685	2.3%
2	23949	1.8%
4	21343	1.6%
Other values (28)	202161	15.1%

Hangul

Value	Count	Frequency (%)
주	3	9.7%
을	2	6.5%
사	2	6.5%
가	2	6.5%
화	2	6.5%
영	2	6.5%
룬	1	3.2%
마	1	3.2%
네	1	3.2%
시	1	3.2%
Other values (14)	14	45.2%

Katakana

Value	Count	Frequency (%)
ソ	1	12.5%
ッ	1	12.5%
リ	1	12.5%
ド	1	12.5%
フ	1	12.5%
ィ	1	12.5%
ャ	1	12.5%
チ	1	12.5%

Inherited

Value	Count	Frequency (%)
́	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3246654	> 99.9%
None	1046	< 0.1%
CJK	105	< 0.1%
Hangul	30	< 0.1%
Letterlike Symbols	13	< 0.1%
Katakana	10	< 0.1%
Punctuation	4	< 0.1%
Diacriticals	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	413056	12.7%
	281472	8.7%
o	178504	5.5%
n	171817	5.3%
i	143373	4.4%
:	125161	3.9%
,	115615	3.6%
t	107883	3.3%
r	105135	3.2%
a	102782	3.2%
Other values (72)	1501856	46.3%

None

Value	Count	Frequency (%)
é	602	57.6%
í	51	4.9%
ä	48	4.6%
ñ	44	4.2%
É	38	3.6%
á	35	3.3%
ó	34	3.3%
ö	31	3.0%
ü	18	1.7%
ç	18	1.7%
Other values (27)	127	12.1%

Letterlike Symbols

Value	Count	Frequency (%)
℃	13	100.0%

CJK

Value	Count	Frequency (%)
有	8	7.6%
公	8	7.6%
司	8	7.6%
限	8	7.6%
文	5	4.8%
化	5	4.8%
影	5	4.8%
上	4	3.8%
海	3	2.9%
业	3	2.9%
Other values (40)	48	45.7%

Punctuation

Value	Count	Frequency (%)
’	3	75.0%
–	1	25.0%

Hangul

Value	Count	Frequency (%)
주	3	10.0%
을	2	6.7%
사	2	6.7%
가	2	6.7%
화	2	6.7%
영	2	6.7%
룬	1	3.3%
마	1	3.3%
네	1	3.3%
시	1	3.3%
Other values (13)	13	43.3%

Katakana

Value	Count	Frequency (%)
ー	2	20.0%
ソ	1	10.0%
ッ	1	10.0%
リ	1	10.0%
ド	1	10.0%
フ	1	10.0%
ィ	1	10.0%
ャ	1	10.0%
チ	1	10.0%

Diacriticals

Value	Count	Frequency (%)
́	1	100.0%

ProductionCountries
Text

Distinct	868
Distinct (%)	8.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	517
Median length	433
Mean length	69.0281
Min length	2

Characters and Unicode

Total characters	690281
Distinct characters	63
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	613 ?
Unique (%)	6.1%

Sample

1st row	[{'iso_3166_1': 'US', 'name': 'United States of America'}]
2nd row	[{'iso_3166_1': 'IT', 'name': 'Italy'}, {'iso_3166_1': 'US', 'name': 'United States of America'}]
3rd row	[{'iso_3166_1': 'US', 'name': 'United States of America'}]
4th row	[{'iso_3166_1': 'US', 'name': 'United States of America'}]
5th row	[{'iso_3166_1': 'ES', 'name': 'Spain'}]

Value	Count	Frequency (%)
iso_3166_1	13839	17.8%
name	13839	17.8%
united	7991	10.3%
states	6750	8.7%
of	6750	8.7%
america	6750	8.7%
us	6750	8.7%
gb	1222	1.6%
kingdom	1222	1.6%
france	758	1.0%
Other values (220)	11956	15.4%

Most occurring characters

Value	Count	Frequency (%)
'	110712	16.0%
	67827	9.8%
e	38199	5.5%
a	34681	5.0%
i	31757	4.6%
6	27678	4.0%
_	27678	4.0%
:	27678	4.0%
1	27678	4.0%
n	27633	4.0%
Other values (53)	268760	38.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	264597	38.3%
Other Punctuation	156247	22.6%
Decimal Number	69195	10.0%
Space Separator	67827	9.8%
Uppercase Letter	57059	8.3%
Connector Punctuation	27678	4.0%
Close Punctuation	23839	3.5%
Open Punctuation	23839	3.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	15105	26.5%
S	14727	25.8%
A	8012	14.0%
K	2529	4.4%
C	1863	3.3%
G	1787	3.1%
B	1656	2.9%
F	1568	2.7%
R	1476	2.6%
J	1448	2.5%
Other values (16)	6888	12.1%

Lowercase Letter

Value	Count	Frequency (%)
e	38199	14.4%
a	34681	13.1%
i	31757	12.0%
n	27633	10.4%
o	23538	8.9%
t	22642	8.6%
m	22606	8.5%
s	21117	8.0%
d	10373	3.9%
r	9279	3.5%
Other values (15)	22772	8.6%

Other Punctuation

Value	Count	Frequency (%)
'	110712	70.9%
:	27678	17.7%
,	17857	11.4%

Decimal Number

Value	Count	Frequency (%)
6	27678	40.0%
1	27678	40.0%
3	13839	20.0%

Close Punctuation

Value	Count	Frequency (%)
}	13839	58.1%
]	10000	41.9%

Open Punctuation

Value	Count	Frequency (%)
{	13839	58.1%
[	10000	41.9%

Space Separator

Value	Count	Frequency (%)
	67827	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	27678	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	368625	53.4%
Latin	321656	46.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	38199	11.9%
a	34681	10.8%
i	31757	9.9%
n	27633	8.6%
o	23538	7.3%
t	22642	7.0%
m	22606	7.0%
s	21117	6.6%
U	15105	4.7%
S	14727	4.6%
Other values (41)	69651	21.7%

Common

Value	Count	Frequency (%)
'	110712	30.0%
	67827	18.4%
6	27678	7.5%
_	27678	7.5%
:	27678	7.5%
1	27678	7.5%
,	17857	4.8%
3	13839	3.8%
}	13839	3.8%
{	13839	3.8%
Other values (2)	20000	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	690281	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	110712	16.0%
	67827	9.8%
e	38199	5.5%
a	34681	5.0%
i	31757	4.6%
6	27678	4.0%
_	27678	4.0%
:	27678	4.0%
1	27678	4.0%
n	27633	4.0%
Other values (53)	268760	38.9%

SpokenLanguages
Text

Distinct	974
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	725
Median length	67
Mean length	94.5997
Min length	2

Characters and Unicode

Total characters	945997
Distinct characters	198
Distinct categories	12 ?
Distinct scripts	16 ?
Distinct blocks	16 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	740 ?
Unique (%)	7.4%

Sample

1st row	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]
2nd row	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Italian', 'iso_639_1': 'it', 'name': 'Italiano'}]
3rd row	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]
4th row	[{'english_name': 'French', 'iso_639_1': 'fr', 'name': 'Français'}, {'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Italian', 'iso_639_1': 'it', 'name': 'Italiano'}, {'english_name': 'Russian', 'iso_639_1': 'ru', 'name': 'Pусский'}]
5th row	[{'english_name': 'Spanish', 'iso_639_1': 'es', 'name': 'Español'}]

Value	Count	Frequency (%)
english	15714	18.3%
english_name	14176	16.5%
iso_639_1	14176	16.5%
name	14176	16.5%
en	7857	9.2%
spanish	895	1.0%
español	895	1.0%
es	895	1.0%
français	851	1.0%
french	851	1.0%
Other values (277)	15188	17.7%

Most occurring characters

Value	Count	Frequency (%)
'	170112	18.0%
	75674	8.0%
n	74418	7.9%
e	57384	6.1%
s	51181	5.4%
i	49770	5.3%
:	42528	4.5%
_	42528	4.5%
a	40466	4.3%
h	33241	3.5%
Other values (188)	308695	32.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	441401	46.7%
Other Punctuation	245822	26.0%
Space Separator	75674	8.0%
Decimal Number	56704	6.0%
Connector Punctuation	42528	4.5%
Uppercase Letter	25980	2.7%
Close Punctuation	24176	2.6%
Open Punctuation	24176	2.6%
Other Letter	9047	1.0%
Nonspacing Mark	254	< 0.1%
Other values (2)	235	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	74418	16.9%
e	57384	13.0%
s	51181	11.6%
i	49770	11.3%
a	40466	9.2%
h	33241	7.5%
l	32548	7.4%
g	30645	6.9%
m	29009	6.6%
o	17466	4.0%
Other values (67)	25273	5.7%

Other Letter

Value	Count	Frequency (%)
語	801	8.9%
日	801	8.9%
本	801	8.9%
话	566	6.3%
州	438	4.8%
국	366	4.0%
조	366	4.0%
말	366	4.0%
한	366	4.0%
선	366	4.0%
Other values (49)	3810	42.1%

Uppercase Letter

Value	Count	Frequency (%)
E	16635	64.0%
F	1722	6.6%
S	1031	4.0%
I	1022	3.9%
J	803	3.1%
P	765	2.9%
D	632	2.4%
G	558	2.1%
M	410	1.6%
K	385	1.5%
Other values (19)	2017	7.8%

Spacing Mark

Value	Count	Frequency (%)
ि	82	35.3%
ी	82	35.3%
ు	24	10.3%
া	14	6.0%
ੀ	7	3.0%
ং	7	3.0%
ி	7	3.0%
ਾ	7	3.0%
ං	2	0.9%

Nonspacing Mark

Value	Count	Frequency (%)
ִ	96	37.8%
्	82	32.3%
ְ	48	18.9%
ె	12	4.7%
்	7	2.8%
ੰ	7	2.8%
ි	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
'	170112	69.2%
:	42528	17.3%
,	32581	13.3%
/	585	0.2%
?	10	< 0.1%
;	6	< 0.1%

Decimal Number

Value	Count	Frequency (%)
9	14176	25.0%
1	14176	25.0%
3	14176	25.0%
6	14176	25.0%

Close Punctuation

Value	Count	Frequency (%)
}	14176	58.6%
]	10000	41.4%

Open Punctuation

Value	Count	Frequency (%)
{	14176	58.6%
[	10000	41.4%

Space Separator

Value	Count	Frequency (%)
	75674	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	42528	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	469083	49.6%
Latin	464699	49.1%
Han	4758	0.5%
Cyrillic	2299	0.2%
Hangul	2196	0.2%
Arabic	1061	0.1%
Devanagari	492	0.1%
Thai	448	< 0.1%
Hebrew	384	< 0.1%
Greek	320	< 0.1%
Other values (6)	257	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	74418	16.0%
e	57384	12.3%
s	51181	11.0%
i	49770	10.7%
a	40466	8.7%
h	33241	7.2%
l	32548	7.0%
g	30645	6.6%
m	29009	6.2%
o	17466	3.8%
Other values (60)	48571	10.5%

Cyrillic

Value	Count	Frequency (%)
с	669	29.1%
к	383	16.7%
и	360	15.7%
й	340	14.8%
у	319	13.9%
а	37	1.6%
р	33	1.4%
н	22	1.0%
ь	22	1.0%
У	22	1.0%
Other values (12)	92	4.0%

Common

Value	Count	Frequency (%)
'	170112	36.3%
	75674	16.1%
:	42528	9.1%
_	42528	9.1%
,	32581	6.9%
9	14176	3.0%
}	14176	3.0%
1	14176	3.0%
{	14176	3.0%
3	14176	3.0%
Other values (7)	34780	7.4%

Arabic

Value	Count	Frequency (%)
ا	162	15.3%
ر	162	15.3%
ة	129	12.2%
ي	129	12.2%
ع	129	12.2%
ب	129	12.2%
ل	129	12.2%
س	18	1.7%
ی	18	1.7%
ف	18	1.7%
Other values (5)	38	3.6%

Han

Value	Count	Frequency (%)
語	801	16.8%
日	801	16.8%
本	801	16.8%
话	566	11.9%
州	438	9.2%
通	347	7.3%
普	347	7.3%
話	219	4.6%
廣	219	4.6%
广	219	4.6%

Hebrew

Value	Count	Frequency (%)
ִ	96	25.0%
ר	48	12.5%
ת	48	12.5%
י	48	12.5%
ע	48	12.5%
ְ	48	12.5%
ב	48	12.5%

Greek

Value	Count	Frequency (%)
λ	80	25.0%
κ	40	12.5%
ι	40	12.5%
ν	40	12.5%
η	40	12.5%
ά	40	12.5%
ε	40	12.5%

Georgian

Value	Count	Frequency (%)
ქ	9	14.3%
ლ	9	14.3%
უ	9	14.3%
ა	9	14.3%
თ	9	14.3%
ი	9	14.3%
რ	9	14.3%

Hangul

Value	Count	Frequency (%)
국	366	16.7%
조	366	16.7%
말	366	16.7%
한	366	16.7%
선	366	16.7%
어	366	16.7%

Thai

Value	Count	Frequency (%)
า	128	28.6%
ท	64	14.3%
ย	64	14.3%
ไ	64	14.3%
ษ	64	14.3%
ภ	64	14.3%

Devanagari

Value	Count	Frequency (%)
ि	82	16.7%
द	82	16.7%
्	82	16.7%
न	82	16.7%
ी	82	16.7%
ह	82	16.7%

Gurmukhi

Value	Count	Frequency (%)
ਬ	7	16.7%
ਪ	7	16.7%
ੰ	7	16.7%
ੀ	7	16.7%
ਾ	7	16.7%
ਜ	7	16.7%

Telugu

Value	Count	Frequency (%)
ు	24	33.3%
ల	12	16.7%
గ	12	16.7%
ె	12	16.7%
త	12	16.7%

Tamil

Value	Count	Frequency (%)
்	7	20.0%
ழ	7	20.0%
ி	7	20.0%
ம	7	20.0%
த	7	20.0%

Sinhala

Value	Count	Frequency (%)
හ	2	20.0%
ල	2	20.0%
ං	2	20.0%
ි	2	20.0%
ස	2	20.0%

Bengali

Value	Count	Frequency (%)
া	14	40.0%
ং	7	20.0%
ল	7	20.0%
ব	7	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	931602	98.5%
CJK	4758	0.5%
None	2434	0.3%
Cyrillic	2299	0.2%
Hangul	2196	0.2%
Arabic	1061	0.1%
Devanagari	492	0.1%
Thai	448	< 0.1%
Hebrew	384	< 0.1%
Telugu	72	< 0.1%
Other values (6)	251	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	170112	18.3%
	75674	8.1%
n	74418	8.0%
e	57384	6.2%
s	51181	5.5%
i	49770	5.3%
:	42528	4.6%
_	42528	4.6%
a	40466	4.3%
h	33241	3.6%
Other values (58)	294300	31.6%

None

Value	Count	Frequency (%)
ñ	895	36.8%
ç	890	36.6%
ê	146	6.0%
λ	80	3.3%
κ	40	1.6%
ι	40	1.6%
ν	40	1.6%
η	40	1.6%
ά	40	1.6%
ε	40	1.6%
Other values (14)	183	7.5%

CJK

Value	Count	Frequency (%)
語	801	16.8%
日	801	16.8%
本	801	16.8%
话	566	11.9%
州	438	9.2%
通	347	7.3%
普	347	7.3%
話	219	4.6%
廣	219	4.6%
广	219	4.6%

Cyrillic

Value	Count	Frequency (%)
с	669	29.1%
к	383	16.7%
и	360	15.7%
й	340	14.8%
у	319	13.9%
а	37	1.6%
р	33	1.4%
н	22	1.0%
ь	22	1.0%
У	22	1.0%
Other values (12)	92	4.0%

Hangul

Value	Count	Frequency (%)
국	366	16.7%
조	366	16.7%
말	366	16.7%
한	366	16.7%
선	366	16.7%
어	366	16.7%

Arabic

Value	Count	Frequency (%)
ا	162	15.3%
ر	162	15.3%
ة	129	12.2%
ي	129	12.2%
ع	129	12.2%
ب	129	12.2%
ل	129	12.2%
س	18	1.7%
ی	18	1.7%
ف	18	1.7%
Other values (5)	38	3.6%

Thai

Value	Count	Frequency (%)
า	128	28.6%
ท	64	14.3%
ย	64	14.3%
ไ	64	14.3%
ษ	64	14.3%
ภ	64	14.3%

Hebrew

Value	Count	Frequency (%)
ִ	96	25.0%
ר	48	12.5%
ת	48	12.5%
י	48	12.5%
ע	48	12.5%
ְ	48	12.5%
ב	48	12.5%

Devanagari

Value	Count	Frequency (%)
ि	82	16.7%
द	82	16.7%
्	82	16.7%
न	82	16.7%
ी	82	16.7%
ह	82	16.7%

Latin Ext Additional

Value	Count	Frequency (%)
ệ	33	50.0%
ế	33	50.0%

Telugu

Value	Count	Frequency (%)
ు	24	33.3%
ల	12	16.7%
గ	12	16.7%
ె	12	16.7%
త	12	16.7%

Bengali

Value	Count	Frequency (%)
া	14	40.0%
ং	7	20.0%
ল	7	20.0%
ব	7	20.0%

Georgian

Value	Count	Frequency (%)
ქ	9	14.3%
ლ	9	14.3%
უ	9	14.3%
ა	9	14.3%
თ	9	14.3%
ი	9	14.3%
რ	9	14.3%

Gurmukhi

Value	Count	Frequency (%)
ਬ	7	16.7%
ਪ	7	16.7%
ੰ	7	16.7%
ੀ	7	16.7%
ਾ	7	16.7%
ਜ	7	16.7%

Tamil

Value	Count	Frequency (%)
்	7	20.0%
ழ	7	20.0%
ி	7	20.0%
ம	7	20.0%
த	7	20.0%

Sinhala

Value	Count	Frequency (%)
හ	2	20.0%
ල	2	20.0%
ං	2	20.0%
ි	2	20.0%
ස	2	20.0%

TagLine
Text

MISSING

Distinct	7530
Distinct (%)	99.2%
Missing	2413
Missing (%)	24.1%
Memory size	156.2 KiB

Length

Max length	206
Median length	143
Mean length	39.759457
Min length	3

Characters and Unicode

Total characters	301655
Distinct characters	100
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7479 ?
Unique (%)	98.6%

Sample

1st row	They'll die when they're dead.
2nd row	Justice knows no borders.
3rd row	Neon lights... Suits with shoulder pads... Jumping from explosions in slow motion...
4th row	We all share the same fate.
5th row	Attempting to survive in the middle of nowhere is her only option.

Value	Count	Frequency (%)
the	3549	6.4%
a	1988	3.6%
to	1204	2.2%
of	1165	2.1%
is	1124	2.0%
you	967	1.7%
in	791	1.4%
and	586	1.1%
for	579	1.0%
one	502	0.9%
Other values (6347)	43096	77.6%

Most occurring characters

Value	Count	Frequency (%)
	47972	15.9%
e	31978	10.6%
t	18698	6.2%
o	18615	6.2%
a	16132	5.3%
n	15291	5.1%
r	14757	4.9%
i	14757	4.9%
s	14165	4.7%
h	12027	4.0%
Other values (90)	97263	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	222152	73.6%
Space Separator	47982	15.9%
Uppercase Letter	16471	5.5%
Other Punctuation	13766	4.6%
Decimal Number	867	0.3%
Dash Punctuation	259	0.1%
Final Punctuation	115	< 0.1%
Close Punctuation	14	< 0.1%
Open Punctuation	14	< 0.1%
Currency Symbol	8	< 0.1%
Other values (4)	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	31978	14.4%
t	18698	8.4%
o	18615	8.4%
a	16132	7.3%
n	15291	6.9%
r	14757	6.6%
i	14757	6.6%
s	14165	6.4%
h	12027	5.4%
l	9614	4.3%
Other values (24)	56118	25.3%

Uppercase Letter

Value	Count	Frequency (%)
T	2658	16.1%
A	1464	8.9%
S	1187	7.2%
W	974	5.9%
I	957	5.8%
H	942	5.7%
B	806	4.9%
N	753	4.6%
F	745	4.5%
E	724	4.4%
Other values (16)	5261	31.9%

Other Punctuation

Value	Count	Frequency (%)
.	9252	67.2%
'	1727	12.5%
,	1224	8.9%
!	886	6.4%
?	419	3.0%
…	101	0.7%
"	63	0.5%
:	37	0.3%
%	17	0.1%
*	13	0.1%
Other values (4)	27	0.2%

Decimal Number

Value	Count	Frequency (%)
0	254	29.3%
1	184	21.2%
2	103	11.9%
9	64	7.4%
3	60	6.9%
5	49	5.7%
7	42	4.8%
6	41	4.7%
8	36	4.2%
4	34	3.9%

Dash Punctuation

Value	Count	Frequency (%)
-	247	95.4%
—	8	3.1%
–	4	1.5%

Space Separator

Value	Count	Frequency (%)
	47972	> 99.9%
	10	< 0.1%

Final Punctuation

Value	Count	Frequency (%)
’	113	98.3%
”	2	1.7%

Initial Punctuation

Value	Count	Frequency (%)
“	2	66.7%
‘	1	33.3%

Math Symbol

Value	Count	Frequency (%)
~	1	50.0%
+	1	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	14	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	14	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	8	100.0%

Modifier Letter

Value	Count	Frequency (%)
ʻ	1	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	238623	79.1%
Common	63032	20.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	31978	13.4%
t	18698	7.8%
o	18615	7.8%
a	16132	6.8%
n	15291	6.4%
r	14757	6.2%
i	14757	6.2%
s	14165	5.9%
h	12027	5.0%
l	9614	4.0%
Other values (50)	72589	30.4%

Common

Value	Count	Frequency (%)
	47972	76.1%
.	9252	14.7%
'	1727	2.7%
,	1224	1.9%
!	886	1.4%
?	419	0.7%
0	254	0.4%
-	247	0.4%
1	184	0.3%
’	113	0.2%
Other values (30)	754	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	301398	99.9%
Punctuation	231	0.1%
None	25	< 0.1%
Modifier Letters	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	47972	15.9%
e	31978	10.6%
t	18698	6.2%
o	18615	6.2%
a	16132	5.4%
n	15291	5.1%
r	14757	4.9%
i	14757	4.9%
s	14165	4.7%
h	12027	4.0%
Other values (72)	97006	32.2%

Punctuation

Value	Count	Frequency (%)
’	113	48.9%
…	101	43.7%
—	8	3.5%
–	4	1.7%
”	2	0.9%
“	2	0.9%
‘	1	0.4%

None

Value	Count	Frequency (%)
	10	40.0%
é	4	16.0%
ñ	2	8.0%
ü	2	8.0%
á	2	8.0%
ō	1	4.0%
ê	1	4.0%
ù	1	4.0%
í	1	4.0%
½	1	4.0%

Modifier Letters

Value	Count	Frequency (%)
ʻ	1	100.0%

RunTime
Real number (ℝ)

ZEROS

Distinct	220
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.7372

Minimum	0
Maximum	400
Zeros	137
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	63
Q1	91
median	101
Q3	115
95-th percentile	140
Maximum	400
Range	400
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	27.703785
Coefficient of variation (CV)	0.27230732
Kurtosis	6.3812347
Mean	101.7372
Median Absolute Deviation (MAD)	12
Skewness	-0.41509431
Sum	1017372
Variance	767.49969
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	295	2.9%
95	283	2.8%
100	275	2.8%
93	269	2.7%
105	245	2.5%
97	240	2.4%
98	238	2.4%
94	228	2.3%
92	227	2.3%
96	226	2.3%
Other values (210)	7474	74.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	137	1.4%
2	3	< 0.1%
3	8	0.1%
4	6	0.1%
5	9	0.1%
6	14	0.1%
7	10	0.1%
8	8	0.1%
9	8	0.1%
10	13	0.1%

Value	Count	Frequency (%)
400	1	< 0.1%
333	1	< 0.1%
317	1	< 0.1%
254	1	< 0.1%
248	1	< 0.1%
247	1	< 0.1%
242	2	< 0.1%
240	1	< 0.1%
238	2	< 0.1%
237	1	< 0.1%

Revenue
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	5579
Distinct (%)	55.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62253720

Minimum	0
Maximum	2.923706 × 10⁹
Zeros	4155
Zeros (%)	41.5%
Negative	0
Negative (%)	0.0%
Memory size	156.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3720364
Q3	54054618
95-th percentile	3.0726891 × 10⁸
Maximum	2.923706 × 10⁹
Range	2.923706 × 10⁹
Interquartile range (IQR)	54054618

Descriptive statistics

Standard deviation	1.5623949 × 10⁸
Coefficient of variation (CV)	2.5097214
Kurtosis	55.356164
Mean	62253720
Median Absolute Deviation (MAD)	3720364
Skewness	5.8965705
Sum	6.225372 × 10¹¹
Variance	2.4410779 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4155	41.5%
11000000	11	0.1%
2000000	10	0.1%
10000000	10	0.1%
12000000	10	0.1%
30000000	9	0.1%
7000000	8	0.1%
25000000	8	0.1%
5000000	7	0.1%
8000000	7	0.1%
Other values (5569)	5765	57.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4155	41.5%
1	1	< 0.1%
3	1	< 0.1%
7	1	< 0.1%
10	1	< 0.1%
29	1	< 0.1%
43	1	< 0.1%
94	1	< 0.1%
126	1	< 0.1%
201	1	< 0.1%

Value	Count	Frequency (%)
2923706026	1	< 0.1%
2800000000	1	< 0.1%
2320250281	1	< 0.1%
2264162353	1	< 0.1%
2068223624	1	< 0.1%
2052415039	1	< 0.1%
1921847111	1	< 0.1%
1671537444	1	< 0.1%
1663075401	1	< 0.1%
1518815515	1	< 0.1%

Auto

Heatmap
Table

	Id	Popularity	VoteAverage	VoteCount	Budget	RunTime	Revenue	OriginalLanguage
Id	1.000	0.082	-0.135	-0.510	-0.456	-0.212	-0.495	0.147
Popularity	0.082	1.000	0.161	0.343	0.245	0.078	0.278	0.000
VoteAverage	-0.135	0.161	1.000	0.322	0.063	0.319	0.163	0.117
VoteCount	-0.510	0.343	0.322	1.000	0.697	0.365	0.747	0.000
Budget	-0.456	0.245	0.063	0.697	1.000	0.373	0.794	0.017
RunTime	-0.212	0.078	0.319	0.365	0.373	1.000	0.387	0.123
Revenue	-0.495	0.278	0.163	0.747	0.794	0.387	1.000	0.000
OriginalLanguage	0.147	0.000	0.117	0.000	0.017	0.123	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	GenreIds	Id	OriginalLanguage	OriginalTitle	Overview	Popularity	ReleaseDate	Title	VoteAverage	VoteCount	Budget	ProductionCompanies	ProductionCountries	SpokenLanguages	TagLine	RunTime	Revenue
0	[28, 12, 53]	299054	en	Expend4bles	Armed with every weapon they can get their hands on and the skills to use them, The Expendables are the world’s last line of defense and the team that gets called when all other options are off the table. But new team members with new styles and tactics are going to give “new blood” a whole new meaning.	3741.062	2023-09-15	Expend4bles	6.4	364	100000000	[{'id': 1020, 'logo_path': '/kuUIHNwMec4dwOLghDhhZJzHZTd.png', 'name': 'Millennium Media', 'origin_country': 'US'}, {'id': 48738, 'logo_path': None, 'name': 'Campbell Grobman Films', 'origin_country': 'US'}, {'id': 1632, 'logo_path': '/cisLn1YAUuptXVBa0xjq7ST9cH0.png', 'name': 'Lionsgate', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	They'll die when they're dead.	103	30000000
1	[28, 53, 80]	926393	en	The Equalizer 3	Robert McCall finds himself at home in Southern Italy but he discovers his friends are under the control of local crime bosses. As events turn deadly, McCall knows what he has to do: become his friends' protector by taking on the mafia.	2471.515	2023-08-30	The Equalizer 3	7.3	1027	70000000	[{'id': 1423, 'logo_path': '/1rbAwGQzrNvXDICD6HWEn1YqfAV.png', 'name': 'Escape Artists', 'origin_country': 'US'}, {'id': 5, 'logo_path': '/wrweLpBqRYcAM7kCSaHDJRxKGOP.png', 'name': 'Columbia Pictures', 'origin_country': 'US'}, {'id': 10400, 'logo_path': '/9LlB2YAwXTkUAhx0pItSo6pDlkB.png', 'name': 'Eagle Pictures', 'origin_country': 'IT'}, {'id': 44967, 'logo_path': None, 'name': 'ZHIV Productions', 'origin_country': ''}]	[{'iso_3166_1': 'IT', 'name': 'Italy'}, {'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Italian', 'iso_639_1': 'it', 'name': 'Italiano'}]	Justice knows no borders.	109	176933602
2	[16, 28, 14]	1034062	en	Mortal Kombat Legends: Cage Match	In 1980s Hollywood, action star Johnny Cage is looking to become an A-list actor. But when his costar, Jennifer, goes missing from set, Johnny finds himself thrust into a world filled with shadows, danger, and deceit. As he embarks on a bloody journey, Johnny quickly discovers the City of Angels has more than a few devils in its midst.	2223.430	2023-10-17	Mortal Kombat Legends: Cage Match	7.8	27	0	[{'id': 2785, 'logo_path': '/l5zW8jjmQOCx2dFmvnmbYmqoBmL.png', 'name': 'Warner Bros. Animation', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Neon lights... Suits with shoulder pads... Jumping from explosions in slow motion...	80	0
3	[28, 53]	575264	en	Mission: Impossible - Dead Reckoning Part One	Ethan Hunt and his IMF team embark on their most dangerous mission yet: To track down a terrifying new weapon that threatens all of humanity before it falls into the wrong hands. With control of the future and the world's fate at stake and dark forces from Ethan's past closing in, a deadly race around the globe begins. Confronted by a mysterious, all-powerful enemy, Ethan must consider that nothing can matter more than his mission—not even the lives of those he cares about most.	2032.927	2023-07-08	Mission: Impossible - Dead Reckoning Part One	7.7	1799	291000000	[{'id': 4, 'logo_path': '/gz66EfNoYPqHTYI4q9UEN4CbHRc.png', 'name': 'Paramount', 'origin_country': 'US'}, {'id': 82819, 'logo_path': '/gXfFl9pRPaoaq14jybEn1pHeldr.png', 'name': 'Skydance', 'origin_country': 'US'}, {'id': 21777, 'logo_path': None, 'name': 'TC Productions', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'French', 'iso_639_1': 'fr', 'name': 'Français'}, {'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Italian', 'iso_639_1': 'it', 'name': 'Italiano'}, {'english_name': 'Russian', 'iso_639_1': 'ru', 'name': 'Pусский'}]	We all share the same fate.	164	567148955
4	[53, 18]	1151534	es	Nowhere	A young pregnant woman named Mia escapes from a country at war by hiding in a maritime container aboard a cargo ship. After a violent storm, Mia gives birth to the child while lost at sea, where she must fight to survive.	1627.678	2023-09-29	Nowhere	7.6	686	0	[{'id': 204005, 'logo_path': None, 'name': 'Rock & Ruz', 'origin_country': 'ES'}]	[{'iso_3166_1': 'ES', 'name': 'Spain'}]	[{'english_name': 'Spanish', 'iso_639_1': 'es', 'name': 'Español'}]	Attempting to survive in the middle of nowhere is her only option.	109	0
5	[27, 9648, 53]	968051	en	The Nun II	In 1956 France, a priest is violently murdered, and Sister Irene begins to investigate. She once again comes face-to-face with a powerful evil.	1594.559	2023-09-06	The Nun II	7.0	1086	38500000	[{'id': 12, 'logo_path': '/mevhneWSqbjU22D1MXNd4H9x0r0.png', 'name': 'New Line Cinema', 'origin_country': 'US'}, {'id': 76907, 'logo_path': '/ygMQtjsKX7BZkCQhQZY82lgnCUO.png', 'name': 'Atomic Monster', 'origin_country': 'US'}, {'id': 11565, 'logo_path': None, 'name': 'The Safran Company', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'French', 'iso_639_1': 'fr', 'name': 'Français'}]	Confess your sins.	110	262010000
6	[28, 80, 53]	961268	ko	발레리나	Grieving the loss of a best friend she couldn't protect, an ex-bodyguard sets out to fulfill her dear friend's last wish: sweet revenge.	1521.075	2023-10-05	Ballerina	7.0	200	0	[{'id': 127541, 'logo_path': '/Aq35mXuZv7lhPm8a60YKRaB9Vek.png', 'name': 'Climax Studios', 'origin_country': 'KR'}]	[{'iso_3166_1': 'KR', 'name': 'South Korea'}]	[{'english_name': 'Korean', 'iso_639_1': 'ko', 'name': '한국어/조선말'}]	Merciless and ruthless, to hell.	93	0
7	[27, 53]	951491	en	Saw X	Between the events of 'Saw' and 'Saw II', a sick and desperate John Kramer travels to Mexico for a risky and experimental medical procedure in hopes of a miracle cure for his cancer, only to discover the entire operation is a scam to defraud the most vulnerable. Armed with a newfound purpose, the infamous serial killer returns to his work, turning the tables on the con artists in his signature visceral way through devious, deranged, and ingenious traps.	1469.177	2023-09-26	Saw X	7.3	287	13000000	[{'id': 2061, 'logo_path': '/o9LbN33hRaj4qcebUv1bikyXeoB.png', 'name': 'Twisted Pictures', 'origin_country': 'US'}, {'id': 1632, 'logo_path': '/cisLn1YAUuptXVBa0xjq7ST9cH0.png', 'name': 'Lionsgate', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Spanish', 'iso_639_1': 'es', 'name': 'Español'}]	Witness the return of Jigsaw.	118	71984243
8	[12, 28, 18]	980489	en	Gran Turismo	The ultimate wish-fulfillment tale of a teenage Gran Turismo player whose gaming skills won him a series of Nissan competitions to become an actual professional racecar driver.	1315.518	2023-08-09	Gran Turismo	8.1	1127	60000000	[{'id': 125281, 'logo_path': '/3hV8pyxzAJgEjiSYVv1WZ0ZYayp.png', 'name': 'PlayStation Productions', 'origin_country': 'US'}, {'id': 84792, 'logo_path': '/7Rfr3Zu6QnHpXW2VdSEzUminAQd.png', 'name': '2.0 Entertainment', 'origin_country': 'US'}, {'id': 5, 'logo_path': '/wrweLpBqRYcAM7kCSaHDJRxKGOP.png', 'name': 'Columbia Pictures', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Japanese', 'iso_639_1': 'ja', 'name': '日本語'}, {'english_name': 'German', 'iso_639_1': 'de', 'name': 'Deutsch'}]	From gamer to racer.	135	114800000
9	[53, 878, 28]	937249	en	57 Seconds	When a tech blogger lands an interview with a tech guru and stops an attack on him, he finds a mysterious ring that takes him back 57 seconds into the past.	1304.978	2023-09-29	57 Seconds	5.4	111	0	[{'id': 189103, 'logo_path': '/hu0qcD4k7kfWpdAewqmJSUyZPa7.png', 'name': 'Ashland Hill Media Finance', 'origin_country': 'US'}, {'id': 176331, 'logo_path': None, 'name': 'BGG Capital', 'origin_country': ''}, {'id': 12029, 'logo_path': '/8PAf5K4VVI6xO9SjB7bxLtpi4xH.png', 'name': 'Curmudgeon Films', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Rewind the past. Avenge the future.	99	0

	GenreIds	Id	OriginalLanguage	OriginalTitle	Overview	Popularity	ReleaseDate	Title	VoteAverage	VoteCount	Budget	ProductionCompanies	ProductionCountries	SpokenLanguages	TagLine	RunTime	Revenue
9990	[9648, 80, 53]	11092	en	Presumed Innocent	Rusty Sabich is a deputy prosecutor engaged in an obsessive affair with a coworker who is murdered. Soon after, he's accused of the crime. And his fight to clear his name becomes a whirlpool of lies and hidden passions.	13.054	1990-07-27	Presumed Innocent	6.8	595	22000000	[{'id': 932, 'logo_path': None, 'name': 'Mirage Enterprises', 'origin_country': 'US'}, {'id': 174, 'logo_path': '/IuAlhI9eVC9Z8UQWOIDdWRKSEJ.png', 'name': 'Warner Bros. Pictures', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Some people would kill for love	127	221303188
9991	[18, 10770, 36]	664423	en	The Windermere Children	The story of the pioneering project to rehabilitate child survivors of the Holocaust on the shores of Lake Windermere.	13.052	2020-01-27	The Windermere Children	7.5	96	0	[{'id': 16049, 'logo_path': '/2hb0R2GJ6BvgwmyqO7fIgtjsakt.png', 'name': 'Wall to Wall', 'origin_country': 'GB'}, {'id': 109759, 'logo_path': '/na8NZKqFc8Ep9qAg8KQUcH1DpQl.png', 'name': 'Warner Bros. International Television Production Germany', 'origin_country': 'DE'}, {'id': 4606, 'logo_path': '/otZHbf1HmzLRQsZFSqJXkf8EHz7.png', 'name': 'ZDF', 'origin_country': 'DE'}, {'id': 11667, 'logo_path': '/dhBJdstAolGmqRfbQfElhsU1cTo.png', 'name': 'Northern Ireland Screen', 'origin_country': 'GB'}]	[{'iso_3166_1': 'DE', 'name': 'Germany'}, {'iso_3166_1': 'GB', 'name': 'United Kingdom'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'German', 'iso_639_1': 'de', 'name': 'Deutsch'}]	NaN	88	0
9992	[27, 878]	3077	en	Son of Frankenstein	One of the sons of late Dr. Henry Frankenstein finds his father's ghoulish creation in a coma and revives him, only to find out the monster is controlled by Ygor who is bent on revenge.	13.052	1939-01-13	Son of Frankenstein	6.7	205	420000	[{'id': 33, 'logo_path': '/8lvHyhjr8oUKOOy2dKXoALWKdp0.png', 'name': 'Universal Pictures', 'origin_country': 'US'}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	The black shadows of the past bred this half-man . . . half-demon ! . . . creating a new and terrible juggernaut of destruction !	99	0
9993	[18, 10749]	413543	hi	Dear Zindagi	An unconventional thinker helps a budding cinematographer gain a new perspective on life.	13.051	2016-11-23	Dear Zindagi	7.1	210	4300000	[{'id': 2343, 'logo_path': '/fkrlAFxgAtIHgYJGIQcDggeucKV.png', 'name': 'Red Chillies Entertainment', 'origin_country': 'IN'}, {'id': 19146, 'logo_path': '/5Ff25ornzVNhm5skuAvMAR556NB.png', 'name': 'Dharma Productions', 'origin_country': 'IN'}, {'id': 78597, 'logo_path': None, 'name': 'Hope Productions', 'origin_country': 'IN'}]	[{'iso_3166_1': 'IN', 'name': 'India'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Hindi', 'iso_639_1': 'hi', 'name': 'हिन्दी'}]	NaN	151	3376375
9994	[12, 18, 28, 53]	14400	fr	Largo Winch	After a powerful billionaire is murdered, his secret adoptive son must race to prove his legitimacy, find his father's killers and stop them from taking over his financial empire.	13.051	2008-12-17	The Heir Apparent: Largo Winch	6.0	486	25412760	[{'id': 6750, 'logo_path': None, 'name': 'Pan-Européenne', 'origin_country': 'FR'}, {'id': 856, 'logo_path': '/3tfzS2CrX6Ntbu927XzHXEPDA6y.png', 'name': 'Wild Bunch', 'origin_country': 'FR'}, {'id': 356, 'logo_path': '/tSJvuFaLIp7l0ONLUiAHA61GbXu.png', 'name': 'TF1 Films Production', 'origin_country': 'FR'}, {'id': 139617, 'logo_path': None, 'name': 'Araneo', 'origin_country': 'BE'}, {'id': 104, 'logo_path': '/9aotxauvc9685tq9pTcRJszuT06.png', 'name': 'Canal+', 'origin_country': 'FR'}, {'id': 14362, 'logo_path': None, 'name': 'October Pictures', 'origin_country': 'HK'}]	[{'iso_3166_1': 'BE', 'name': 'Belgium'}, {'iso_3166_1': 'FR', 'name': 'France'}, {'iso_3166_1': 'HK', 'name': 'Hong Kong'}]	[{'english_name': 'French', 'iso_639_1': 'fr', 'name': 'Français'}, {'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Serbian', 'iso_639_1': 'sr', 'name': 'Srpski'}, {'english_name': 'Portuguese', 'iso_639_1': 'pt', 'name': 'Português'}]	NaN	108	0
9995	[28, 80, 53]	2749	en	15 Minutes	When Eastern European criminals Oleg and Emil come to New York City to pick up their share of a heist score, Oleg steals a video camera and starts filming their activities, both legal and illegal. When they learn how the American media circus can make a remorseless killer look like the victim and make them rich, they target media-savvy NYPD Homicide Detective Eddie Flemming and media-naive FDNY Fire Marshal Jordy Warsaw, the cops investigating their murder and torching of their former criminal partner, filming everything to sell to the local tabloid TV show "Top Story."	13.051	2001-03-01	15 Minutes	5.9	646	60000000	[{'id': 376, 'logo_path': None, 'name': 'Industry Entertainment', 'origin_country': ''}, {'id': 11391, 'logo_path': '/t6m0uRTzaFHCsvEpikENE0PWJGb.png', 'name': 'Tribeca Productions', 'origin_country': 'US'}, {'id': 67171, 'logo_path': None, 'name': 'New Redemption Pictures', 'origin_country': ''}]	[{'iso_3166_1': 'DE', 'name': 'Germany'}, {'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}, {'english_name': 'Greek', 'iso_639_1': 'el', 'name': 'ελληνικά'}, {'english_name': 'Russian', 'iso_639_1': 'ru', 'name': 'Pусский'}, {'english_name': 'Czech', 'iso_639_1': 'cs', 'name': 'Český'}]	America Likes to Watch	120	56359980
9996	[18, 28, 53]	11128	en	Ladder 49	Under the watchful eye of his mentor, Captain Mike Kennedy, probationary firefighter Jack Morrison matures into a seasoned veteran at a Baltimore fire station. However, Jack has reached a crossroads as the sacrifices he's made have put him in harm's way innumerable times and significantly impacted his relationship with his wife and kids.	13.050	2004-10-01	Ladder 49	6.4	707	60000000	[{'id': 919, 'logo_path': None, 'name': 'Beacon Communications', 'origin_country': ''}, {'id': 9195, 'logo_path': '/ou5BUbtulr6tIt699q6xJiEQTR9.png', 'name': 'Touchstone Pictures', 'origin_country': 'US'}, {'id': 10157, 'logo_path': None, 'name': 'Beacon Pictures', 'origin_country': ''}, {'id': 877, 'logo_path': None, 'name': 'Casey Silver Productions', 'origin_country': 'US'}, {'id': 53987, 'logo_path': None, 'name': 'Fantail Films Inc.', 'origin_country': ''}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Their greatest challenge lies in rescuing one of their own	115	74541707
9997	[18, 35]	484482	fr	Le Grand Bain	40-year-old Bertrand has been suffering from depression for the last two years and is barely able to keep his head above water. Despite the medication he gulps down all day, every day, and his wife's encouragement, he is unable to find any meaning in his life. Curiously, he will end up finding this sense of purpose at the swimming pool, by joining an all-male synchronised swimming team.	13.049	2018-10-24	Sink or Swim	6.9	1398	0	[{'id': 34780, 'logo_path': '/ahgzFRXKF2fkOV0WfB0RCxEmxki.png', 'name': 'Chi-Fou-Mi Productions', 'origin_country': 'FR'}, {'id': 2612, 'logo_path': '/3ulBLchjjnjVmvyLQSwO62MDKLE.png', 'name': 'Les Productions du Trésor', 'origin_country': 'FR'}]	[{'iso_3166_1': 'BE', 'name': 'Belgium'}, {'iso_3166_1': 'FR', 'name': 'France'}]	[{'english_name': 'French', 'iso_639_1': 'fr', 'name': 'Français'}]	NaN	122	0
9998	[18]	453755	en	Arctic	A man stranded in the Arctic is finally about to receive his long awaited rescue. However, after a tragic accident, his opportunity is lost and he must then decide whether to remain in the relative safety of his camp or embark on a deadly trek through the unknown for potential salvation.	13.049	2018-11-21	Arctic	6.5	1095	2000000	[{'id': 35849, 'logo_path': '/bHYIJoy2ri7crfHugwR0AdF3qdM.png', 'name': 'Armory Films', 'origin_country': 'US'}, {'id': 12496, 'logo_path': '/tk6stgFevcJ2iWyd0IaEfVStNqL.png', 'name': 'Pegasus Pictures', 'origin_country': 'IS'}, {'id': 21775, 'logo_path': None, 'name': 'Union Entertainment Group', 'origin_country': ''}, {'id': 120207, 'logo_path': None, 'name': 'The Domain Group', 'origin_country': ''}, {'id': 12142, 'logo_path': '/rPnEeMwxjI6rYMGqkWqIWwIJXxi.png', 'name': 'XYZ Films', 'origin_country': 'US'}]	[{'iso_3166_1': 'IS', 'name': 'Iceland'}, {'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'Danish', 'iso_639_1': 'da', 'name': 'Dansk'}, {'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Survival is the only option	98	4100000
9999	[10402, 99, 10751]	54518	en	Justin Bieber: Never Say Never	Tells the story of Justin Bieber, the kid from Canada with the hair, the smile and the voice: It chronicles his unprecedented rise to fame, all the way from busking in the streets of Stratford, Canada to putting videos on YouTube to selling out Madison Square Garden in New York as the headline act during the My World Tour from 2010. It features Usher, Scooter Braun, Ludacris, Sean Kingston, Antonio "L.A." Reid, Boyz II Men, Miley Cyrus, Jaden Smith, Justin's family members and parts of his crew and huge fanbase in a mix of interviews and guest performances. It was released in 3D in theaters all around the world and is the highest grossing concert movie of all time, beating the previous record held by Michael Jackson's This Is It from 2009.	13.049	2011-02-11	Justin Bieber: Never Say Never	5.2	378	13000000	[{'id': 7377, 'logo_path': '/zdVYfWyiQmLgyq8V73HRHpCWjRO.png', 'name': 'Insurge Pictures', 'origin_country': 'US'}, {'id': 7378, 'logo_path': None, 'name': 'Magical Elves', 'origin_country': 'US'}, {'id': 7379, 'logo_path': '/gwpgBGRP4nXn3M6gXUV6W02uKGS.png', 'name': 'Scooter Braun Films', 'origin_country': 'US'}, {'id': 4, 'logo_path': '/gz66EfNoYPqHTYI4q9UEN4CbHRc.png', 'name': 'Paramount', 'origin_country': 'US'}, {'id': 162509, 'logo_path': None, 'name': 'L.A. Reid Media', 'origin_country': ''}, {'id': 87041, 'logo_path': None, 'name': 'AEG Live', 'origin_country': ''}, {'id': 746, 'logo_path': '/kc7bdIVTBkJYy9aDK1QDDTAL463.png', 'name': 'MTV Films', 'origin_country': 'US'}, {'id': 78156, 'logo_path': None, 'name': 'The Island Def Jam Music Group', 'origin_country': ''}]	[{'iso_3166_1': 'US', 'name': 'United States of America'}]	[{'english_name': 'English', 'iso_639_1': 'en', 'name': 'English'}]	Find out what's possible if you never give up.	105	98500000

Overview

Variables

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Decimal Number

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Common

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Length

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Latin

Most occurring blocks

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Open Punctuation

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Inherited

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Hiragana

None

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